Postdoc: Lead Active-Learning for Cell Tracking & AI

Human Technopole; Milano; In loco; EUR 39.000 - 47.000; Tempo pieno

Vantaggi offerti da questo lavoro

Relocation support

Flexible working policies

Parental support initiatives

Descrizione del lavoro

Human Technopole in Milan invites applications for a postdoctoral position leading the design, implementation, and training of active learning strategies to fine-tune a pre-trained cell-tracking network. The project focuses on adapting to new datasets with only a few annotated samples and embedding the network in the Motile Tracker GUI.

You will work with contemporary probabilistic models to quantify uncertainty and collaborate with experimental labs, mentoring junior researchers while

Competenze

• PhD or nearing completion in a quantitative field relevant to life sciences.
• Experience with machine learning is essential.
• Experience with scientific Python packages (NumPy, SciPy, scikit-learn, etc.).
• A track record of impactful scientific contributions (papers or software) is desirable.

Mansioni

• Lead the development of an active learning framework for cell tracking.
• Guide development on real biomedical datasets.
• Publish results in conferences and journals with open-source, well-documented software.
• Initiate collaborations and mentor junior researchers.

Conoscenze

Machine learning

Python (scientific)

Formazione

Ph.D. in Computer Science, Physics, Engineering, Biology, or related fields

Strumenti

Python

Motile Tracker

Descrizione del lavoro

Human Technopole in Milan invites applications for a postdoctoral position leading the design, implementation, and training of active learning strategies to fine-tune a pre-trained cell-tracking network. The project focuses on adapting to new datasets with only a few annotated samples and embedding the network in the Motile Tracker GUI.

You will work with contemporary probabilistic models to quantify uncertainty and collaborate with experimental labs, mentoring junior researchers while